Gilberto Reynoso-Meza
Orcid: 0000-0002-8392-6225
According to our database1,
Gilberto Reynoso-Meza
authored at least 48 papers
between 2009 and 2024.
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Bibliography
2024
Multi-criteria Decision-Making Techniques for the Selection of Pareto-optimal Machine Learning Models in a Drinking-Water Quality Monitoring Problem.
Int. J. Inf. Technol. Decis. Mak., January, 2024
Comput. Ind. Eng., 2024
2023
Proceedings of the Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation, 2023
2022
SN Comput. Sci., 2022
2021
Soft Comput., 2021
Proceedings of the 8th IEEE/ACM International Workshop on Software Engineering Research and Industrial Practice, 2021
TimeStacking: An Improved Ensemble Learning Method for Continuous Time Series Classification.
Proceedings of the Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations, 2021
Application of an input-output pairings selection methodology to control multivariable systems based on multi-objective optimization.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021
2020
Ensemble learning by means of a multi-objective optimization design approach for dealing with imbalanced data sets.
Expert Syst. Appl., 2020
Multi-objective ensembles of echo state networks and extreme learning machines for streamflow series forecasting.
Eng. Appl. Artif. Intell., 2020
A Loop Pairing Method for Non-Linear Multivariable Control Systems Under a Multi-Objective Optimization Approach.
IEEE Access, 2020
Dynamic Multi-criteria Classifier Selection for Illegal Tapping Detection in Oil Pipelines.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
A holistic multi-objective optimization design procedure for ensemble member generation and selection.
Appl. Soft Comput., 2019
A New Point of View in Multivariable Controller Tuning Under Multiobjetive Optimization by Considering Nearly Optimal Solutions.
IEEE Access, 2019
A Loop Pairing Method for Multivariable Control Systems Under a Multi-Objective Optimization Approach.
IEEE Access, 2019
Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series.
Proceedings of the International Joint Conference on Neural Networks, 2019
Monitoring of drinking-water quality by means of a multi-objective ensemble learning approach.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
A Multiobjective Genetic Algorithm for the Localization of Optimal and Nearly Optimal Solutions Which Are Potentially Useful: nevMOGA.
Complex., 2018
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Online anomaly detection for drinking water quality using a multi-objective machine learning approach.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Multi-objective Support Vector Machines Ensemble Generation for Water Quality Monitoring.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Enhancing controller's tuning reliability with multi-objective optimisation: From Model in the loop to Hardware in the loop.
Eng. Appl. Artif. Intell., 2017
Static force capability optimization of humanoids robots based on modified self-adaptive differential evolution.
Comput. Oper. Res., 2017
Interactive tool for analyzing multiobjective optimization results with level diagrams.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2016
Preference driven multi-objective optimization design procedure for industrial controller tuning.
Inf. Sci., 2016
Inf. Sci., 2016
Evolutionary multi-objective optimisation with preferences for multivariable PI controller tuning.
Expert Syst. Appl., 2016
Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case.
BMC Syst. Biol., 2016
RBF Neural Network combined with self-adaptive MODE and Genetic Algorithm to identify velocity profile of swimmers.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
On the improvement of static force capacity of humanoid robots based on plants behavior.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015
2014
Int. J. Artif. Intell. Tools, 2014
Physical programming for preference driven evolutionary multi-objective optimization.
Appl. Soft Comput., 2014
2013
Controller Tuning by Means of Multi-Objective Optimization Algorithms: A Global Tuning Framework.
IEEE Trans. Control. Syst. Technol., 2013
Comparison of design concepts in multi-criteria decision-making using level diagrams.
Inf. Sci., 2013
2012
Expert Syst. Appl., 2012
2011
An empirical study on parameter selection for multiobjective optimization algorithms using Differential Evolution.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011
Proceedings of the IEEE 16th Conference on Emerging Technologies & Factory Automation, 2011
Hybrid DE algorithm with adaptive crossover operator for solving real-world numerical optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011
2010
Eng. Appl. Artif. Intell., 2010
Proceedings of the FUZZ-IEEE 2010, 2010
Design of Continuous Controllers Using a Multiobjective Differential Evolution Algorithm with Spherical Pruning.
Proceedings of the Applications of Evolutionary Computation, 2010
Multiobjective optimization algorithm for solving constrained single objective problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009